IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v95y2005i3p415-424.html
   My bibliography  Save this article

Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach

Author

Listed:
  • Kulak, Osman
  • Kahraman, Cengiz

Abstract

No abstract is available for this item.

Suggested Citation

  • Kulak, Osman & Kahraman, Cengiz, 2005. "Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach," International Journal of Production Economics, Elsevier, vol. 95(3), pages 415-424, March.
    • Handle: RePEc:eee:proeco:v:95:y:2005:i:3:p:415-424
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(04)00046-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ertugrul Karsak, E. & Tolga, Ethem, 2001. "Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments," International Journal of Production Economics, Elsevier, vol. 69(1), pages 49-64, January.
    2. Kahraman, Cengiz & Tolga, Ethem & Ulukan, Ziya, 2000. "Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis," International Journal of Production Economics, Elsevier, vol. 66(1), pages 45-52, June.
    3. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
    4. Kakati, M., 1997. "Strategic evaluation of advanced manufacturing technology," International Journal of Production Economics, Elsevier, vol. 53(2), pages 141-156, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cebi, Selcuk & Ilbahar, Esra & Atasoy, Aylin, 2016. "A fuzzy information axiom based method to determine the optimal location for a biomass power plant: A case study in Aegean Region of Turkey," Energy, Elsevier, vol. 116(P1), pages 894-907.
    2. Cliville, Vincent & Berrah, Lamia & Mauris, Gilles, 2007. "Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method," International Journal of Production Economics, Elsevier, vol. 105(1), pages 171-189, January.
    3. Bai, Chunguang & Sarkis, Joseph, 2017. "Improving green flexibility through advanced manufacturing technology investment: Modeling the decision process," International Journal of Production Economics, Elsevier, vol. 188(C), pages 86-104.
    4. Süleyman Çakır, 2018. "An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1433-1445, October.
    5. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    6. Vasant, Pandian M. & Barsoum, Nader N. & Bhattacharya, Arijit, 2008. "Possibilistic optimization in planning decision of construction industry," International Journal of Production Economics, Elsevier, vol. 111(2), pages 664-675, February.
    7. Wei Huang & Peiqi Hu & Fu-Sheng Tsai & Yinke Liu & Yu Huang, 2022. "Smart Sales Empower Small Farmers: An Integrated Matching Method between Suppliers and Consumers Based on the Information Axiom," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    8. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    9. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    10. Lucian-Ionel Cioca & Radu-Eugen Breaz & Sever-Gabriel Racz, 2019. "Reducing the Risks during the Purchase of Five-Axis CNC Machining Centers Using AHP Method and Fuzzy Systems," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
    11. Zhaoxia Guo & Haitao Liu & Dongqing Zhang & Jing Yang, 2017. "Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach," Sustainability, MDPI, vol. 9(4), pages 1-13, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Ping-Teng, 2005. "Fuzzy strategic replacement analysis," European Journal of Operational Research, Elsevier, vol. 160(2), pages 532-559, January.
    2. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    3. Llorens, F. Javier & Molina, Luis M. & Verdu, Antonio J., 2005. "Flexibility of manufacturing systems, strategic change and performance," International Journal of Production Economics, Elsevier, vol. 98(3), pages 273-289, December.
    4. Haktanır, Elif & Kahraman, Cengiz, 2023. "Intuitionistic fuzzy risk adjusted discount rate and certainty equivalent methods for risky projects," International Journal of Production Economics, Elsevier, vol. 257(C).
    5. Bonnin Roca, Jaime & O'Sullivan, Eoin, 2020. "Seeking coherence between barriers to manufacturing technology adoption and innovation policy," International Journal of Production Economics, Elsevier, vol. 230(C).
    6. Choe, Pilsung & Tew, Jeffrey D. & Tong, Songzhen, 2015. "Effect of cognitive automation in a material handling system on manufacturing flexibility," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 891-899.
    7. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
    8. Iraj Noravesh & Mohammad Delasay Sorkhab & Faegh Salehi, 2006. "A Fuzzy Approach for Projects Evaluation and Selection; an Iranian Auto Manufacturer Case Study," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 11(1), pages 171-185, winter.
    9. Min-Sung Kim & Eul-Bum Lee & In-Hye Jung & Douglas Alleman, 2018. "Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    10. Khalid Aljohani & Russell G. Thompson, 2018. "A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area," Sustainability, MDPI, vol. 11(1), pages 1-27, December.
    11. Abdi, M.R., 2009. "Fuzzy multi-criteria decision model for evaluating reconfigurable machines," International Journal of Production Economics, Elsevier, vol. 117(1), pages 1-15, January.
    12. Lin, Ching-Torng & Chiu, Hero & Tseng, Yi-Hong, 2006. "Agility evaluation using fuzzy logic," International Journal of Production Economics, Elsevier, vol. 101(2), pages 353-368, June.
    13. Kengpol, Athakorn, 2004. "Design of a decision support system to evaluate the investment in a new distribution centre," International Journal of Production Economics, Elsevier, vol. 90(1), pages 59-70, July.
    14. Bogdan Rębiasz, 2010. "Interactive fuzzy numbers in the evaluation of the effectiveness of investment projects and selection of efficient portfolios," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(3-4), pages 103-127.
    15. Cengiz Kahraman & Sezi Cevik Onar & Basar Oztaysi, 2016. "A Comparison of Wind Energy Investment Alternatives Using Interval-Valued Intuitionistic Fuzzy Benefit/Cost Analysis," Sustainability, MDPI, vol. 8(2), pages 1-18, January.
    16. Keon Chul Park & Dong-Hee Shin, 2017. "Security assessment framework for IoT service," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(1), pages 193-209, January.
    17. Jedrzej Charlampowicz & Slawomir Skiba, 2023. "Relationship between Various Components of Management in Pomeranian Communes Based on FUZZY-DEMATEL Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 197-207.
    18. Dai, James B. & Lee, Neville K.S., 2012. "Economic feasibility analysis of flexible material handling systems: A case study in the apparel industry," International Journal of Production Economics, Elsevier, vol. 136(1), pages 28-36.
    19. Azadegan, Arash & Porobic, Lejla & Ghazinoory, Sepehr & Samouei, Parvaneh & Saman Kheirkhah, Amir, 2011. "Fuzzy logic in manufacturing: A review of literature and a specialized application," International Journal of Production Economics, Elsevier, vol. 132(2), pages 258-270, August.
    20. Zhou, Honggeng & Keong Leong, G. & Jonsson, Patrik & Sum, Chee-Chuong, 2009. "A comparative study of advanced manufacturing technology and manufacturing infrastructure investments in Singapore and Sweden," International Journal of Production Economics, Elsevier, vol. 120(1), pages 42-53, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:95:y:2005:i:3:p:415-424. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.